Dyscalculia: Characteristics, Causes, and Treatments

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Dyscalculia: Characteristics, Causes, and Treatments Numeracy Advancing Education in Quantitative Literacy Volume 6 Issue 1 Article 2 2013 Dyscalculia: Characteristics, Causes, and Treatments Gavin R. Price [email protected] Daniel Ansari Western University, [email protected] Follow this and additional works at: https://scholarcommons.usf.edu/numeracy Part of the Disability and Equity in Education Commons, Psychological Phenomena and Processes Commons, and the Special Education and Teaching Commons Recommended Citation Price, Gavin R., and Daniel Ansari. "Dyscalculia: Characteristics, Causes, and Treatments." Numeracy 6, Iss. 1 (2013): Article 2. DOI: http://dx.doi.org/10.5038/1936-4660.6.1.2 Authors retain copyright of their material under a Creative Commons Non-Commercial Attribution 4.0 License. Dyscalculia: Characteristics, Causes, and Treatments Abstract Developmental Dyscalculia (DD) is a learning disorder affecting the ability to acquire school-level arithmetic skills, affecting approximately 3-6% of individuals. Progress in understanding the root causes of DD and how best to treat it have been impeded by lack of widespread research and variation in characterizations of the disorder across studies. However, recent years have witnessed significant growth in the field, and a growing body of behavioral and neuroimaging evidence now points to an underlying deficit in the representation and processing of numerical magnitude information as a potential core deficit in DD. An additional product of the recent progress in understanding DD is the resurgence of a distinction between ‘primary’ and ‘secondary’ developmental dyscalculia. The first appears elatedr to impaired development of brain mechanisms for processing numerical magnitude information, while the latter refers to mathematical deficits stemming from external factors such as poor teaching, low socio- economic status, and behavioral attention problems or domain-general cognitive deficits. Increased awareness of this distinction going forward, in combination with longitudinal empirical research, offers great potential for deepening our understanding of the disorder and developing effective educational interventions. Keywords Dyscalculia, numeracy, quantitative reasoning, cognition, number sense Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License Cover Page Footnote Gavin Price is an Assistant Professor in Educational Neuroscience in the Department of Psychology and Human Development at Vanderbilt University, Peabody College. He completed his PhD in Developmental Cognitive Neuroscience at the University of Jyvaskyla, Finland, under the Marie Curie Research Training Network 'NUMBRA' (Numeracy & Brain Development) in 2008 and then completed a postdoctoral fellowship at the University of Western Ontario under the supervision of Daniel Ansari. Daniel Ansari is Canada Research Chair in Developmental Cognitive Neurosicence in the Department of Psychology at the University of Western Ontario, Canada, where he is the principal investigator in the ‘Numerical Cognition Laboratory’ (www.numericalcognition.org) and also a member of the Institute for Brain and Mind. He completed his PhD at University College London, UK, in 2003. From 2003-2006 he was an Assistant Professor in the Department of Education at Dartmouth College. This article is available in Numeracy: https://scholarcommons.usf.edu/numeracy/vol6/iss1/art2 Price and Ansari: Dyscalculia Introduction Today’s world requires us to process unprecedented levels of numerical information. Computers, smartphones, financial and healthcare information processing are just a few of the many contemporary demands requiring our numerical fluency. Despite this landscape, up to 25% of “economically active” individuals in countries such as the United Kingdom remain “functionally innumerate”1(Gross, Hudson, and Price 2009); for those individuals, rates of unemployment, mental and physical illness, arrest and incarceration are higher (Duncan et al. 2007; Parsons and Bynner 2005; Bynner and Parsons 1997). At the societal level, low numeracy has been estimated to cost the UK government up to £2.7 billion in lost revenues and added costs, and widespread improvements in mathematical competence have been linked to observable increases in the gross domestic product (GDP) (OECD 2010). Thus it is essential, for continued development of effective quantitative learning and mathematical education methods, that we understand the sources of such widespread and debilitating numerical and mathematical impairments. While many factors such as educational experience, IQ and other cognitive abilities, and motivation may undermine the development of numeracy skills, one key potential impediment is a developmental learning disorder that is specific to numeracy. Developmental Dyscalculia (DD) is such a learning disorder that specifically affects the ability to acquire school-level arithmetic skills. Diagnosis of DD is recommended by the DSM-IV2 when “mathematical ability, as measured by individually administered standardized tests, is substantially below that expected given the person's chronological age, measured intelligence, and age-appropriate education.” Studies on representative samples of both school-based and general populations have been carried out in various countries across the world, and the resulting estimates suggest that as many as 3-6% of individuals may suffer from DD (for a review see Shalev et al. 2000). Such prevalence estimates suggest that a high number of functionally innumerate individuals may be so because they suffer from a specific learning disorder, akin to Dyslexia3 in the case of reading. Therefore, from the perspective of educators, those individuals may require tailored educational interventions to improve their numeracy skills. Such interventions can be tailored to individuals only on the basis of improved understanding of the causes and characteristics of the disorder itself. 1 lacking the “essential knowledge, skills, and understanding that will enable them to operate confidently effectively and independently in life and at work” (DfES 2005). 2 The ‘DSM’ is the ‘Diagnostic and Statistical Manual of Mental Disorders’ published by the American Psychiatric Association. DSM-IV refers to the 4th iteration of this publication. 3 A developmental learning disorder specifically affecting the acquisition of fluent reading skills. Published by Scholar Commons, 2013 1 Numeracy, Vol. 6 [2013], Iss. 1, Art. 2 Despite the evident importance of numerical and mathematical skills for life success and a prevalence rate equivalent to that of developmental dyslexia (Shalev et al. 2000), DD has been chronically understudied, with studies on dyslexia outnumbering those on DD by 14:1 as recently as 2007 (Gersten, Clarke, and Mazzocco 2007). The consequence of this under-attention is that the cognitive causes of DD are currently poorly understood. It should be noted that DD often co-occurs (is comorbid) with other learning difficulties such as Developmental Dyslexia and Attention Deficit Hyperactivity Disorder (ADHD).4 However, the focus of the present review is on DD alone rather than on cases in which DD and other disorders co-occur. Research into DD has revealed a wide range of behavioral deficits in mathematical abilities. However, the consistent identification of a core group of behavioral markers across studies has remained elusive. This general lack of consistency can be attributed to two primary factors, aside from the relative lack of attention paid to DD. First, variation across studies in criteria used to identify children with mathematical difficulties has impeded the achievement of a consensus on the defining features of DD. To elaborate, some studies have employed discrepancy criteria, such as defining DD as math performance within an affected individual as equivalent to children one or two years younger (Temple and Sherwood 2002; Shalev, Manor, and Gross-Tsur 1997). Other studies have used percentile cut-off points, ranging from the lowest 35th percentile (Geary, Hamson, and Hoard 2000) to the lowest 11th percentile (Butterworth 2003). Still more studies have employed alternatives to discrepancy criteria, such as a standard deviation criterion in which a child is deemed dyscalculic if the child scored three standard deviations below the mean on item-timed arithmetic for example (Landerl, Bevan, and Butterworth 2004). Such wide-ranging selection criteria have the effect of including individuals whose math deficits do not stem from a persistent learning disorder, but rather may stem from exogenous sources such as poor teaching, low socio-economic status, or alternative developmental disorders such as ADHD. This fact underlines then the second reason for the lack of consensus on the behavioral profile of DD: mathematical skills are inherently heterogeneous and, as such, are vulnerable to disruption from a wide range of endogenous and exogenous sources. In 1970, Ladislav Kosc proposed a definition of DD: Developmental dyscalculia is a structural disorder of mathematical abilities which has its origin in a genetic or congenital disorder of those parts of the brain that are the direct anatomico-physiological substrate of 4 A mental or neurobehavioral disorder characterized by either significant difficulties of inattention or hyperactivity and impulsiveness or a combination of the two (National Institute of Neurological Disorders and Stroke. National Institute of Health) https://scholarcommons.usf.edu/numeracy/vol6/iss1/art2
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